Single-Cell RNA Sequencing (scRNA-Seq) Data Analysis of Retinal Homeostasis and Degeneration of Microglia.

Autor:	Saddala MS; Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA. msaddal1@jhmi.edu., Mundla S; Department of Biotechnology, Sri Venkateswara University, Tirupati, AP, India., Patyal N; Department of Bioinformatics, Central University of Himachal Pradesh, Kangra, HP, India., Dash S; Department of Bioinformatics, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha, India.
Jazyk:	angličtina
Zdroj:	Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2023; Vol. 2678, pp. 91-106.
DOI:	10.1007/978-1-0716-3255-0_6
Abstrakt:	Single-cell RNA sequencing (scRNA-seq) experiment reveals previously unseen molecular features. The number of sequencing procedures and computational data analysis approaches has been increasing rapidly in recent years. This chapter provides a general idea of the single-cell data analysis and visualization. An introduction and practical guidance for the 10× sequencing data analysis and visualization are presented. Basic data analysis approaches are highlighted, followed by quality control of data, filtering in cell level and gene level, normalization, dimensional reduction, clustering analysis, and marker identification. (© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze:	MEDLINE
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